Lal Hussain
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Wajid AzizSharjil SaeedImtiaz Ahmed AwanAdeel AbbasiKashif Javed LoneMalik Sajjad Ahmed NadeemSaima RathoreAbdul Majid
- Topics
- AI in cancer detection (17 papers)EEG and Brain-Computer Interfaces (16 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Lal Hussain
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 647
- Radiology, Nuclear Medicine and Imaging 430
- Computer Vision and Pattern Recognition 340
- Neurology 238
- Cognitive Neuroscience 215
Countries citing papers authored by Lal Hussain
This map shows the geographic impact of Lal Hussain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lal Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lal Hussain more than expected).
Fields of papers citing papers by Lal Hussain
This network shows the impact of papers produced by Lal Hussain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lal Hussain. The network helps show where Lal Hussain may publish in the future.
Co-authorship network of co-authors of Lal Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Lal Hussain. A scholar is included among the top collaborators of Lal Hussain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lal Hussain. Lal Hussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | 23 | |
| 13 | 58 | |
| 14 | 97 | |
| 15 | 45 | |
| 16 | 64 | |
| 17 | 31 | |
| 18 | MICROALBUMINURIA AND ITS CORRELATION WITH GLYCEMIC CONTROL IN TYPE 2 DIABETIC PATIENTS | 2 |
| 19 | Coupling Functions between Brain Waves: Significance of Opened/Closed Eyes | 1 |
| 20 | Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique | 23 |
About Lal Hussain
Lal Hussain is a scholar working on Signal Processing, Artificial Intelligence and Neurology, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Health Information Management (138 citations), Neurology (238 citations) and Health Informatics (32 citations). Lal Hussain has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Wajid Aziz, Sharjil Saeed, Imtiaz Ahmed Awan, Adeel Abbasi, Kashif Javed Lone, Malik Sajjad Ahmed Nadeem, Saima Rathore, Abdul Majid, Shahzad Ahmad Qureshi and Adnan Idris. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.